Abstract
If we think of the construction of an oil refinery, a chemical processing plant, a thermal power plant or even of a nuclear reactor, it is easy to see that pipe fitting is one of the most common operations in arc welding. In Canada alone, more than 50,000 tons of piping is assembled each year. Close to 70% of the joints are welded in pipe prefabrication shops with the assembly rotating on a positioner (1G position). Astonishingly, although this very repetitive process seems an ideal candidate for automation, most of it is still done manually using SMAW.
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References
Morgan, C.G., Bromley, J.S.F., Davey, P.G., Viller, A.P. “Visual Guidance Techniques for Robot Arc-Welding”, Third Int. Conf. on Robot Vision and Sensory Controls, SPIE Vol. 449, Cambridge, Nov. 7–10, 1983.
Shende, V.A., “Linear Regression Modelling of GTAW for Developing a Real-Time Feedback Control”, CWR Technical Report 529501/-82–4, Ohio State University, 1982.
Nadeau, F., Fafard, P., Patenaude, G., Tremblay, J. “Method and Apparatus for Controlling Root Pass Weld Penetration in Open Butt Joints”, U.S. Patent # 4,733,051, March 22, 1988.
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© 1990 Springer Science+Business Media New York
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Nadeau, F., Blain, J., Dufour, M. (1990). Automation of Pipe Welding Using Machine Vision and Adaptive Control. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5772-8_251
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DOI: https://doi.org/10.1007/978-1-4684-5772-8_251
Publisher Name: Springer, Boston, MA
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